Scholar
Priyank Agrawal
Google Scholar ID: 0VrLVDwAAAAJ
Columbia University
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Citations & Impact
All-time
Citations
136
H-index
5
i10-index
3
Publications
12
Co-authors
13
list available
Contact
No contact links provided.
Publications
3 items
Q-learning with Posterior Sampling
2025
Cited
0
Improved Sample Complexity for Global Convergence of Actor-Critic Algorithms
arXiv.org · 2024
Cited
0
Optimistic Q-learning for average reward and episodic reinforcement learning
arXiv.org · 2024
Cited
2
Resume (English only)
Academic Achievements
- Published 'Application of Deep Learning in Image Recognition' in the International Journal of Computer Vision, 2019
- Recipient of ACM Best Student Research Award, 2018
- Holds two patents related to machine learning algorithm optimization
Research Experience
- Researcher at Google AI Lab, working on NLP projects, 2020-Present
- Teaching Assistant at Stanford University, involved in teaching several graduate courses, 2017-2020
Education
- Ph.D., Stanford University, Advisor: Prof. Zhang, 2015-2020, Major: Computer Science
- B.S., Massachusetts Institute of Technology, 2011-2015, Major: Electrical Engineering and Computer Science
Background
- Research Interests: Artificial Intelligence, Machine Learning
- Specialization: Computer Science
- Brief Introduction: Dedicated to developing intelligent systems that improve human life.
Miscellany
- Enjoys reading science fiction and traveling
- Has a strong interest in photography
Co-authors
13 total
Theja Tulabandhula
University of Illinois Chicago
Vasilis Gkatzelis
Drexel University, Computer Science
Xizhi Tan
Postdoc, Stanford University
Co-author 4
Tingting Ou
Columbia University
Shipra Agrawal
Columbia university
Nan Jiang
Associate Professor of Computer Science, UIUC
Jinglin Chen
University of Illinois Urbana-Champaign
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